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Abstract

Summary

The results of experimental studies using the frequency-resonance technology of satellite images processing in the territory of the National “Yellowstone Park” (USA) are analyzed. With the purpose of studying the process of activation of volcanic activity, the data of satellite images from Landsat-8 for September 13, 2013, February 12, 2017 and October 10, 2017 were processed. In a large area of work, 13 anomalous geoelectric zones of the “Activation of Volcanic Process (AVP)” type were detected and localized. All of these areas have been allocated during the images frequency resonance processing by detecting an anomalous increase of the intensity of the earth’s natural electric field (NEFE) and an anomalous increase in the concentration of positive ions (charges) in the near-surface atmospheric layer. At the final stage of images processing, obtained 13.09.2013, 02.12.2017 and 10.10.2017, within the park and its surroundings the depths of the prognosis zone of rocks melting were appreciated using the technique of vertical electric-resonance scanning of geologic cross-section. A significant rise of molten rocks is established by scanning in the central parts of anomalous geoelectric zones of the “AVP” type. Analysis of data over a period of time from 2013 to 2017 showed that the most active zone is section No. 2b, located in the region of active geysers. For this plot, a diagram of the rate of magma rise is constructed. If the evaluation of the speed of the magma implementation will be approximately constant, the eruption of the volcano at a given location may be expected in February 2025. Resulting estimate of the date of the eruption can be adjusted up or down during the regular monitoring of the volcanic activity on the “Yellowstone Park” territory.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201801824
2018-05-14
2024-04-19

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201801824
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On the possibility of frequency resonance technology of satellite images processing using for monitoring observations for the activity of the Yellowstone supervolcano
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201801824
/content/papers/10.3997/2214-4609.201801824
/content/papers/10.3997/2214-4609.201801824
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